Q-omics provides the consensus-scored RN7SKP96 profile across patient tissues and cancer cell-line models. RN7SKP96 expression is associated with patient survival in 10 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, RN7SKP96 is differentially expressed in 3, with the highest sampling consensus in KICH. Additionally, RN7SKP96 RNA expression shows 12,785 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight LIHC, KICH, and LUAD as cancer lineages where RN7SKP96 shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.
Premium analyses for RN7SKP96 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RN7SKP96 survival associations across molecular data types. RN7SKP96 RNA expression shows survival associations in the most cancer types (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RN7SKP96 RNA expression–survival associations across cancer types. High RN7SKP96 expression shows unfavorable associations in LIHC, KIRC and ESCA, but favorable associations in KIRP, ACC and BLCA. The LIHC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify LIHC as the clearest survival context for RN7SKP96 RNA expression.
This table summarizes RN7SKP96 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for RN7SKP96. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RN7SKP96 shows lower tumor expression in KICH, KIRP and LUSC. The KICH box plot shows higher RN7SKP96 RNA expression in normal versus tumor tissue (log2 FC = −0.137, t-test p = .017).
This table shows molecular features associated with RN7SKP96 in patient tissues and cancer cell lines. In patient samples, RN7SKP96 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set.
